# Secure External Kafka Data Sharing for Financial Services

Share Kafka data across partners, regulators, and clouds without losing control. Masking, encryption, and auditability at every boundary, enabling compliant, trackable data exchange.

[See it in action](https://www.conduktor.io/contact/demo)

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## Why traditional data sharing creates risk for finance.

### Partner Onboarding Delays

Firewall rules, certificates, and network reviews delay every new partner. Weeks pass before first data exchange.

### Inconsistent Controls

Multiple identity models (OIDC, tokens, BasicAuth) across partner ecosystems. No single control point for schema validation, ACLs, and encryption.

### Compliance Exposure

No immutable audit evidence linking Kafka topics to regulator or SaaS endpoints. No FinOps visibility for chargeback.

## Why Conduktor for Data Sharing

- **Unified Sharing Gateway** — Single control point for all external data flows. mTLS, ACLs, and schema validation enforced at the boundary
- **Field-Level Masking** — Mask sensitive fields before exposure. Share transaction data while protecting PII
- **BYOK Encryption** — Integrate with Voltage, Fortanix, or KMS. Your keys, your control, your compliance
- **Flexible Authentication** — OIDC, API keys, or tokens. Onboard partners without rebuilding your identity model
- **Immutable Audit Logs** — Every shared event logged with lineage. Evidence ready for PCI DSS, GLBA, and DORA
- **FinOps Chargeback** — Track consumption per partner or business unit. Cost attribution and transparency across all data flows

- **Zero-Trust Architecture** — Partners access only authorized topics. Topology and naming hidden. No cluster exposure
- **Dynamic Masking** — Apply masking rules based on consumer identity. Same topic, different views
- **Live Data Sharing** — Share Kafka data in real-time. No replication, no file exports, no data copies
- **Lineage Tracking** — Trace every event from source topic to external consumer. Complete audit trail
- **Throttling Controls** — Rate-limit external consumers. Protect cluster performance during partner surges
- **Fast Onboarding** — Partners connect in days, not weeks of setup. Standard protocols, automated provisioning

## How Data Sharing Works

From internal cluster to external partner, governed end-to-end.

- **Define Sharing Policies** — Set which topics, fields, and events can be shared. Masking and encryption rules apply automatically
- **Configure Partner Access** — Onboard partners with OIDC, tokens, or API keys. Access scoped to specific topics and fields
- **Enable Live Streaming** — Partners consume Kafka data in real-time through the gateway. No replication or exports
- **Monitor & Audit** — Track every access, generate compliance evidence, allocate costs per partner

## Key Use Cases

- **Regulatory Reporting** — Deliver near-real-time reports to financial authorities with end-to-end lineage and immutable audit evidence
- **Partner Connectivity** — Share Kafka topics externally via OIDC or token authentication with schema validation and BYOK encryption
- **Credit and Risk Exchange** — Provide loan, payment, and scoring events to credit bureaus with field-level encryption and masking
- **Vendor and SaaS Integrations** — Expose selected event streams to external providers under zero-trust controls
- **B2B and Payment APIs** — Offer real-time data access to partner banks or payment networks with schema enforcement
- **Data Marketplace** — Power monetized or cross-BU data exchanges with FinOps chargeback and consumption tracking

## Read more customer stories

- [Bitvavo: Secure Data Flows](https://www.conduktor.io/customer-stories/bitvavo-ensures-compliance-dora-mica)
- [European Airline: Partner Communication](https://www.conduktor.io/customer-stories/leading-european-airline-migrates-kafka-to-confluent-cloud-with-conduktor)
- [Swiss Post: Cross-Team Sharing](https://www.conduktor.io/customer-stories/how-swiss-post-governs-democratizes-kafka-usage)

## Frequently Asked Questions

**Can I share data without replicating it?**

Yes. Conduktor acts as a gateway. Partners consume directly from your Kafka cluster through controlled, masked, and audited channels. No data copies.

**How do partners authenticate?**

Conduktor supports OIDC, API keys, tokens, and mTLS. Use your existing identity provider or issue dedicated credentials per partner.

**What masking options are available?**

Field-level masking with multiple strategies: redaction, hashing, tokenization, or partial masking. Rules apply based on consumer identity.

**How does this meet DORA requirements?**

Immutable audit logs, complete lineage from source to consumer, and evidence of encryption coverage. Audit reports generated automatically.

**Can I track what each partner is consuming?**

Yes. FinOps dashboards track consumption per partner, topic, and time period. Use for usage attribution, internal chargeback, or commercial agreement reporting.

## Ready to share Kafka data securely?

See how Conduktor enables compliant data exchange with partners and regulators. Our team can help you design a sharing strategy that meets your security requirements.

[Book a demo](https://www.conduktor.io/contact/demo)

For the full data sharing overview, see [Data Sharing](https://www.conduktor.io/solutions/use-case/data-sharing).